Triple

T3693990
Position Surface form Disambiguated ID Type / Status
Subject Max Hodak E78409 entity
Predicate twitterHandle P2866 FINISHED
Object @max_hodak
@max_hodak is the Twitter handle of Max Hodak, a technology entrepreneur best known as the co-founder and former president of Neuralink and founder of biotech startup Science Corp.
E379661 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: @max_hodak | Statement: [Max Hodak, twitterHandle, @max_hodak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: @max_hodak
Context triple: [Max Hodak, twitterHandle, @max_hodak]
  • A. Marek
    Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
  • B. Maciej
    Maciej is a Polish given name equivalent to the English name Matthew.
  • C. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • D. Majchrowski
    Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
  • E. Hofmański
    Hofmański is a Polish surname most notably borne by Piotr Hofmański, a prominent jurist and former president of the International Criminal Court.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: @max_hodak
Triple: [Max Hodak, twitterHandle, @max_hodak]
Generated description
@max_hodak is the Twitter handle of Max Hodak, a technology entrepreneur best known as the co-founder and former president of Neuralink and founder of biotech startup Science Corp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: @max_hodak
Target entity description: @max_hodak is the Twitter handle of Max Hodak, a technology entrepreneur best known as the co-founder and former president of Neuralink and founder of biotech startup Science Corp.
  • A. Marek
    Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
  • B. Maciej
    Maciej is a Polish given name equivalent to the English name Matthew.
  • C. Jacek
    Jacek is a common Polish male given name, often associated with notable figures in Polish politics, arts, and academia.
  • D. Majchrowski
    Majchrowski is a Polish surname most notably borne by Jacek Majchrowski, a long-serving mayor of Kraków and prominent political figure.
  • E. Hofmański
    Hofmański is a Polish surname most notably borne by Piotr Hofmański, a prominent jurist and former president of the International Criminal Court.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e9e4748190aa178692ef27e3a6 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c5280d788190b59b23acf5f77811 completed March 14, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69b4c58b13c48190b975e61000aa1f05 completed March 14, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:26 p.m.